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Episode 73: Driving Fairness and Equity in Talent Management: Starring Michelle Sequeira

#73 — Driving Fairness and Equity in Talent Management: Starring Michelle Sequeira

Join Henrike von Platen, CEO of FPI and Michelle Sequeira, CEO of Included, in this engaging coffee talk as they discuss the importance of embedding fairness and equity into talent management processes. Michelle shares her insights on data-driven approaches to ensure fair pay, reduce pay gaps, and address biases in recruitment and performance management. Learn about strategic and sustainable approaches to drive change and create thriving workplaces. Don't miss out on these valuable insights!

Henrike hosted an insightful discussion on embedding fairness and equity into talent management processes. Michelle shared her expertise on data-driven approaches to ensure fair pay, reduce pay gaps, and address biases in recruitment and performance management.

Key Points Discussed

Introduction and Background:

  • Henrike welcomed everyone and introduced Michelle Sequeira, CEO of Included, a global impact-led DEI organization.
  • Michelle shared her background as a psychologist with 15 years of experience working with hundreds of organizations.

Favorite Inclusion Topics:

  • Michelle emphasized embedding fairness and equity into talent management processes, particularly recruitment and performance management.
  • Highlighted the importance of data-driven approaches to ensure fair pay and reduce pay gaps.
  • Discussed the impact of minimal changes in recruitment processes on pay equity, such as removing salary history questions.

Challenges in Talent Management:

  • Michelle shared examples of biases in performance management, such as racial disparities in performance ratings.
  • Emphasized the need for organizations to collect and analyze data to identify and address biases.

Strategic and Sustainable Approaches:

  • Michelle advised organizations to focus on specific initiatives each year and link them to rewards to drive change.
  • Encouraged using data to inform evidence-based decisions and initiatives.